sn-ppt-creative

sn-ppt-creative is a skill for Claude Code, Codex from OpenSenseNova/SenseNova-Skills. It costs 97 tokens per session (3,720 once invoked), scanned A, original, MIT.

A presentation-generation workflow that creates one full-page 16:9 image for each slide, using text, image understanding, and image-generation services.

In plain words
What is it for?
Creating presentation slides in a creative visual mode, with images generated or found through web search when needed.
Why use it?
It helps assemble visually designed slide decks and provides a fallback when generated or searched images are unavailable.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

Good fit Creating presentation slides in a creative visual mode, with images generated or found through web search when needed.

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Install with agentmods
npx agentmods add skills/opensensenova/sensenova-skills/sn-ppt-creative
About the project

SenseNova-Skills is a collection of modular skills that extend SenseNova models with office-assistant capabilities such as image generation, presentation creation, spreadsheet analysis, and research. The skills are designed for use in agent runtimes and can be combined into productivity workflows; the catalogue entries are individual skills and agents from this collection.

OpenSenseNova/SenseNova-Skills · 5,515 stars · on GitHub

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add OpenSenseNova/SenseNova-Skills --skill sn-ppt-creative
Clone the repo
git clone --depth 1 https://github.com/OpenSenseNova/SenseNova-Skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for sn-ppt-creative

README.md
[![agentmods](https://agentmods.dev/badge/skills/opensensenova/sensenova-skills/sn-ppt-creative/github.svg)](https://agentmods.dev/skills/opensensenova/sensenova-skills/sn-ppt-creative)
Your own site
<a href="https://agentmods.dev/skills/opensensenova/sensenova-skills/sn-ppt-creative"><img src="https://agentmods.dev/badge/skills/opensensenova/sensenova-skills/sn-ppt-creative/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for sn-ppt-creative

Your own site · 80×15
<a href="https://agentmods.dev/skills/opensensenova/sensenova-skills/sn-ppt-creative"><img src="https://agentmods.dev/badge/skills/opensensenova/sensenova-skills/sn-ppt-creative.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 97 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,720 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00097 $0.03720
Opus 5 $0.00048 $0.01860
Sonnet 5 $0.00019 $0.00744
Haiku 4.5 $0.00010 $0.00372

Measured 7d ago against content hash 1a874d213c46, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

sn-ppt-creative scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/build_pptx.py, scripts/resume_scan.py, scripts/sanitize_prompt.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/sn-ppt-creative/SKILL.md · 300 lines

How it starts

The opening of the file, as written. The whole thing — 300 lines — stays where its author put it; the contents beside it link to each section on GitHub.

sn-ppt-creative

⚠️ This skill must be invoked through /skill sn-ppt-entry. Never start here directly — the entry skill collects parameters and writes task_pack.json + info_pack.json that this skill requires. If you arrived here without those files, stop and tell the user to enter via /skill sn-ppt-entry or "生成 PPT".

Call-routing policy

Kind Backend
LLM (text) $PPT_STANDARD_DIR/lib/model_client.pyllm(sys, user)
VLM (image understanding) $PPT_STANDARD_DIR/lib/model_client.pyvlm(sys, user, images)
T2I (image generation) $SN_IMAGE_BASE/scripts/sn_agent_runner.py sn-image-generate

Never mix — LLM / VLM through sn-image-base, or T2I through model_client — both violate policy.

Visual asset priority

  • Creative mode renders each slide as a generated full-page PNG, so image generation is the first-priority visual path.
  • If image generation fails for a page, use web search (sn-search-image) as a fallback to find a real image that fits the page's topic. Each search result includes the image URL, source page, title, and domain for traceability.
  • Do not create placeholders. If generation and search both fail, record the page failure and continue; never write fake PNGs, grey boxes, broken-image icons, or "image pending" text.
  • Do not mention the search provider name in prompts, visible slide text, progress, or summaries.

Preconditions

  • <deck_dir>/task_pack.json exists and ppt_mode == "creative"
  • <deck_dir>/info_pack.json exists
  • <deck_dir>/pages/ exists
  • $SN_IMAGE_BASE env var (OpenClaw-injected) points at the sn-image-base skill root
  • $PPT_STANDARD_DIR env var points at the sn-ppt-standard skill root (so we can import model_client)

Any missing → stop and tell user to enter via /skill sn-ppt-entry.

Generation progress WebUI

sn-ppt-entry starts the generation progress WebUI after task_pack.json / info_pack.json are written. During creative-mode generation, publish progress with the shared writer from sn-ppt-standard:

Read the full file on GitHub · 300 lines

Files

What ships with it

8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 7d ago First seen · 300 lines · 97 tokens per session scan A 1a874d213c46

Subscribe to this mod's changes

sn-ppt-creative is a skill published in the GitHub repository OpenSenseNova/SenseNova-Skills (5,515 stars, last pushed yesterday), licensed MIT. It adds 97 tokens to every session and 3,720 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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